Evaluation and Modeling of Asphaltene Deposition in Oil Wells

2021 ◽  
Author(s):  
Eissa Al-Safran ◽  
Batoul Al-Ali ◽  
Hessah Alrashidi
Keyword(s):  
Transport Coefficient ◽  
Oil Wells ◽  
Oil Field ◽  
Average Error ◽  
Hydrocarbon Mixture ◽  
Deposition Flux ◽  
Predictive Tool ◽  
Theoretical Understanding ◽  
Asphaltene Deposition ◽  
Improved Model

Abstract Asphaltene deposition in oil wells is a challenging flow-assurance phenomenon that affects the well production, project economics, and operational safety. While asphaltene precipitation is governed by the hydrocarbon mixture thermodynamics, Asphaltene deposition is governed by the complexity of flow hydrodynamic behavior and characteristics. This study aims to evaluate and compare the performance of the existing asphaltene deposition models and improve the current theoretical understanding of the deposition phenomenon by developing better predictive asphaltene deposition model. A large experimental database is collected, including aerosol and asphaltene particles deposition in air and crude oil systems, respectively, to carry on the evaluation. The results of this study revealed that Kor and Kharrat (2017) model of transport coefficient, which accounts for both diffusional and inertial deposition mechanisms outperformed other models in matching the transport coefficient from aerosol/air data. In addition, an improved sticking probability model is proposed in this study, and curve fitted using corrected deposition flux data to obtain the model constant. The improved model is not only physically sound, i.e. SP≥1, but also it requires less input data than other models. A validation study of the improved model shows a slight over prediction of experimental data with an absolute average error of 6.8% and standard deviation of 11.4%. The significance of this work is to provide theoretical predictive tool for asphaltene deposition in pipes to enable prevention, mitigation, and management of oil field asphaltene deposition strategies.

Study and Comparison of Vibration-Based Intrusive and Non-Intrusive Sand Monitoring System

2013 ◽  
Vol 701 ◽  
pp. 440-444
Author(s):  
Gang Liu ◽  
Peng Tao Liu ◽  
Bao Sheng He
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Oil Production ◽  
Oil Wells ◽  
Oil Field ◽  
Sand Production ◽  
The Status

Sand production is a serious problem during the exploitation of oil wells, and people put forward the concept of limited sand to alleviate this problem. Oil production with limited sanding is an efficient mod of production. In order to complete limited sand exploitation, improve the productivity of oil wells, a real-time sand monitoring system is needed to monitor the status of wells production. Besides acoustic sand monitoring and erosion-based sand monitoring, a vibration-based sand monitoring system with two installing styles is proposed recently. The paper points out the relationships between sand monitoring signals collected under intrusive and non-intrusive installing styles and sanding parameters, which lays a good foundation for further study and actual sand monitoring in oil field.

Complete Simulation and Fault Diagnosis of Sucker-Rod Pumping

2021 ◽  
pp. 1-14
Author(s):  
Bin Zhang ◽  
Xianwen Gao ◽  
Xiangyu Li
Keyword(s):  
Fault Diagnosis ◽  
Simulation Model ◽  
Oil Wells ◽  
Oil Field ◽  
Motor Power ◽  
Sucker Rod ◽  
Computer Aided ◽  
Valve Leakage ◽  
Information Construction ◽  
Diagnosis Model

Summary In this paper, we study the simulation and fault diagnosis of a conventional pumping unit under balanced conditions. As the energy input of sucker-rod pumping (SRP), the motor power contains abundant information about the whole pumping cycle under SRP. It is an important step in oilfield information construction to establish a computer-aided system that is based on motor power diagnosis. Hence, we propose an SRP simulation model for generating motor power. By analyzing the working conditions of six oil wells that contain normal or insufficient liquid supply, gas lock, traveling valve leakage, standing valve leakage, and parting rod, we simulate the motor power of the six wells. In addition, we verify the simulation model using a test well with favorable performance and establish the motor power template set (MPTS) using this simulation model. To allow for computer-aided diagnosis, we propose the use of the area proportion method to extract motor power features. We establish a diagnosis model of oilwell conditions that is based on oblique decision tree and train the diagnosis model using the MPTS. Through the verification of six oil wells in the actual production of the oil field, the diagnosis model shows a favorable response. The test results show that the methods of establishing MPTS and oilwell working-condition diagnosis are feasible.

scholarly journals Stratigraphy and Depositional Environment of Mauddud Formation in Ratawi Oil wells of Southern Iraq

2021 ◽  
Vol 877 (1) ◽  
pp. 012030
Author(s):  
Maha Razaq Manhi ◽  
Hamid Ali Ahmed Alsultani
Keyword(s):  
Deep Sea ◽  
Lower Cretaceous ◽  
Depositional Environment ◽  
Carbonate Platform ◽  
Depositional Environments ◽  
Oil Wells ◽  
Oil Field ◽  
Microfacies Analysis ◽  
Thin Sections ◽  
Southern Iraq

Abstract The Mauddud Formation is Iraq’s most significant and widely distributed Lower Cretaceous formation. This Formation has been investigated at a well-23 and a well-6 within Ratawi oil field southern Iraq. In this work, 75 thin sections were produced and examined. The Mauddud Formation was deposited in a variety of environments within the carbonate platform. According to microfacies analysis studying of the Mauddud Formation contains of twelve microfacies, this microfacies Mudstone to wackestone microfacies, bioclastic mudstone to wackestone microfacies, Miliolids wackestone microfacies,Orbitolina wackestone microfacies, Bioclastic wackestone microfacies, Orbitolina packstone microfacies, Peloidal packstone microfacies, Bioclastic packstone microfacies, Peloidal to Bioclastic packstone microfacies, Bioclastic grainstone microfacies, Peloidal grainstone microfacies, Rudstone microfacies. Deep sea, Shallow open marine, Restricted, Rudist Biostrome, Mid – Ramp, and Shoals are the six depositional environments in the Mauddud Formation based on these microfacies.

Mullite ceramic membranes for industrial oily wastewater treatment: experimental and neural network modeling

2011 ◽  
Vol 64 (3) ◽  
pp. 670-676 ◽  
Author(s):  
H. Shokrkar ◽  
A. Salahi ◽  
N. Kasiri ◽  
T. Mohammadi
Keyword(s):  
Neural Network ◽  
Ceramic Membrane ◽  
Ceramic Membranes ◽  
Average Error ◽  
Neural Network Modeling ◽  
Alumina Powder ◽  
Permeation Flux ◽  
Oily Wastewater ◽  
Predictive Tool ◽  
Mullite Ceramic

In this paper, results of an experimental and modeling of separation of oil from industrial oily wastewaters (desalter unit effluent of Seraje, Ghom gas wells, Iran) with mullite ceramic membranes are presented. Mullite microfiltration symmetric membranes were synthesized from kaolin clay and α-alumina powder. The results show that the mullite ceramic membrane has a high total organic carbon and chemical oxygen demand rejection (94 and 89%, respectively), a low fouling resistance (30%) and a high final permeation flux (75 L/m2 h). Also, an artificial neural network, a predictive tool for tracking the inputs and outputs of a non-linear problem, is used to model the permeation flux decline during microfiltration of oily wastewater. The aim was to predict the permeation flux as a function of feed temperature, trans-membrane pressure, cross-flow velocity, oil concentration and filtration time, using a feed-forward neural network. Finally the structure of hidden layers and nodes in each layer with minimum error were reported leading to a 4–15 structure which demonstrated good agreement with the experimental measurements with an average error of less than 2%.

scholarly journals Improvement of Urban Flood Alert Criteria Prediction Model based on Neuro-Fuzzy Initial Function and Training Data

2020 ◽  
Vol 20 (1) ◽  
pp. 327-337
Author(s):  
Hoseon Kang ◽  
Jaewoong Cho ◽  
Hanseung Lee ◽  
Jeonggeun Hwang
Keyword(s):  
Fuzzy Model ◽  
Training Data ◽  
Average Error ◽  
Urban Flood ◽  
Model Based ◽  
Neuro Fuzzy ◽  
Flood Alert ◽  
Improved Model ◽  
Steep Slopes ◽  
And Training

In Korean metropolitan areas, the high density of residential and commercial buildings, highly impervious surfaces, and steep slopes contribute to floods that can occur within a short duration of heavy rainfall. To prepare for this, advance warning measures based on accurate flood alert criteria are needed. In our previous study, we demonstrated the applications of a Neuro-Fuzzy model that considersthe characteristics of the basin to predict flood alert criteria in areas with no damage. However, as the number of learning materials are low, at 27, the evaluation and verification of the model has not been sufficiently accomplished, and its application is limited. Therefore, in this study, we propose an improved model based on the initializing function of the Neuro-Fuzzy algorithm, the construction of training data, and preprocessing. Compared to the existing model, the improved model reduced the average error by 48.1%~65.4% and the RMSE by 50.7%~60.1%. The new model, when applied to actual floods, showed an improvement of 0.7%~19.1% in accuracy.

scholarly journals OPTIMAL OPERATION OF ELECTRICAL POWER GENERATORS FOR OIL WELLS OPERATED BY ARTIFICIAL LIFTING AT RUMILA FIELD

2019 ◽  
Vol 20 (11-12) ◽  
pp. 127-132 ◽  
Author(s):  
Majid Abdulhameed Abdulhy Al-Ali ◽  
V. Yu. Kornilov ◽  
A. G. Gorodnov
Keyword(s):  
Electrical Power ◽  
Oil Production ◽  
Optimal Operation ◽  
Oil Wells ◽  
Oil Field ◽  
Parallel Operation ◽  
Economic Gain ◽  
Power Generators ◽  
Artificial Lift ◽  
Electrical Submersible Pumps

Numerous oil wells within Rumaila field contain Electrical Submersible Pumps (ESPs). ESPs are utilised to maximise the oil production from existing wells by providing artificial lift where pressure is low, which helps maintain oil production levels. The number of ESPs installed throughout the Rumaila. Field is growing consistently to sustain oil field production. Due to the remote locations for each of the ESPs the current strategy is to supply power to ESPs using individual diesel engine generators located at each remote ESP well site. This is an inefficient design, as individual diesel engines are resource intensive due to maintenance and frequent diesel filling. The generators are also a source of significant unreliability causing ESP shutdowns/trips resulting in extended downtime. Given the above a Pre-FEED has been carried out considering supplying ESPs using OHTL’s supplying electrical power from EPP to ESPs in Area C. by uses parallel operation of diesel Generators , we could to constrict 124 from 184 and use 60 only ,by this we get high economic gain and technique, in additional that environmental protection by decreasing pollution.

scholarly journals Two-Stage Geothermal Well Clustering for Oil-to-Water Conversion on Mature Oil Fields

Geosciences ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 470
Author(s):  
Josipa Hranić ◽  
Sara Raos ◽  
Eric Leoutre ◽  
Ivan Rajšl
Keyword(s):  
Spatial Arrangement ◽  
Oil Wells ◽  
Oil Field ◽  
Oil Fields ◽  
Two Stage ◽  
Oil Companies ◽  
Geothermal Potential ◽  
Clustering Approach ◽  
Water Cut

There are numerous oil fields that are approaching the end of their lifetime and that have great geothermal potential considering temperature and water cut. On the other hand, the oil industry is facing challenges due to increasingly stringent environmental regulations. An example of this is the case of France where oil extraction will be forbidden starting from the year 2035. Therefore, some oil companies are considering switching from the oil business to investing in geothermal projects conducted on existing oil wells. The proposed methodology and developed conversions present the evaluation of existing geothermal potentials for each oil field in terms of water temperature and flow rate. An additional important aspect is also the spatial distribution of existing oil wells related to the specific oil field. This paper proposes a two-stage clustering approach for grouping similar wells in terms of their temperature properties. Once grouped on a temperature basis, these clusters should be clustered once more with respect to their spatial arrangement in order to optimize the location of production facilities. The outputs regarding production quantities and economic and environmental aspects will provide insight into the optimal scenario for oil-to-water conversion. The scenarios differ in terms of produced energy and technology used. A case study has been developed where the comparison of overall fields and clustered fields is shown, together with the formed scenarios that can further determine the possible conversion of petroleum assets to a geothermal assets.

scholarly journals Oil Well Testing Using Production Logging Tool in Khurmala field in Kurdistan Region-Iraq

2019 ◽  
Vol 3 (2) ◽  
pp. 41-51
Author(s):  
Maha Hamoudi ◽  
Akram Humoodi ◽  
Bashdar Mohammed
Keyword(s):  
Saturation Pressure ◽  
Water Entry ◽  
Oil Wells ◽  
Oil Field ◽  
Oil Well ◽  
Well Testing ◽  
Kurdistan Region ◽  
Injection Wells ◽  
Study Results ◽  
Entry Points

Production logging tools (PLTs) in oil and gas industries are used for obtaining fluid types and measuring fluid rates in the borehole for both production and injection wells and to better understand the well productivity or the well injectivity of the interest zones. Additionally, it can be used to detect well problems, such as early water or gas breakthrough, channeling behind casing or tubing, and water or gas coning. The Khurmala field is a big oil field in the Kurdistan region of Iraq. PLTs have been acquired in many of the Khurmala oil wells, and the log records took into consideration the production technique decisions. In this study, results of the PLT log will be discussed in one of the Khurmala oil wells. Owing to the long history of production of oil or gas wells, many problems have been seen, such as coning either water or gas, formation damage, casing corrosion, and well obstruct. This research will evaluate the production profile across the slotted liner interval of (W1) well in the Khurmala oil field in the Iraq-Kurdistan region and detect possible water entry points, verify the distribution and nature of fluids, and estimate fluid segregation after the shut-in period. This was done by applying PLTs and interpreting the data by using Emeraude software. The performance of each choke size was studied and assessed. It was found that a choke size of 48/64̎gives the best favorable production gas, oil ratio, and profile. Results from the PL survey showed that no water entry was detected across the logged interval. All the water was coming from below a depth of 990 m; most of the hydrocarbons were coming from the slotted interval across 981.8-982.9 m, and the flowing pressure across the logged interval using maximum choke was less than the saturation pressure.

scholarly journals The incidence of lumbosacral radiculitis of drillers and workers of underground workover of oil wells in Bashkiria

2021 ◽  
Vol 43 (1) ◽  
pp. 77-79
Author(s):  
N. A. Mustaveva
Keyword(s):  
Nervous System ◽  
Peripheral Nervous System ◽  
High Frequency ◽  
Oil Wells ◽  
Oil Field

The study of morbidity among workers of the oil field administrations "Ishimbayneft", "Tuimazaneft", workers of drilling offices No. 1 and No. 2 of the Tuimazaburneft trust showed a high frequency of diseases of the peripheral nervous system, mainly in the form of lumbosacral radiculitis, which associated with exposure at any time of the year to winds, precipitation, contact with water, mud, etc.

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